I'm Shunying
I graduated in 2014 with a PhD degree in Mechanical Engineering from INSA de Rennes in France. I was working as a Research Fellow in Deakin University since 2014. I have expertise in quantitative modeling, predictive simulation, and visualization. However, I am also aiming to expand my skills across other areas.
SQL database.
Advanced statistical techniques in Python.
Machine learning.
Data visualization.
Python web frameworks such as Streamlit, Flask, and Django.
Data science that analyze and visualize large amounts of data.
Other aspects of Python as automating tedious tasks.
With the latest technologies, including Javascript, React, Node and Web3 development.
From frontend development to backend development.
Data structure such as Arrays, Hashmaps and sets, Linked lists, Stacks and queues, Trees and graphs, Heaps.
Algorithms such as Greedy algorithms, Binary search, Backtracking, Dynamic programming.